Abstract: Systems, methods, and non-transitory computer-readable media are disclosed for utilizing an encoder-decoder architecture to learn a volumetric 3D representation of an object using digital images of the object from multiple viewpoints to render novel views of the object. For instance, the disclosed systems can utilize patch-based image feature extraction to extract lifted feature representations from images corresponding to different viewpoints of an object. Furthermore, the disclosed systems can model view-dependent transformed feature representations using learned transformation kernels. In addition, the disclosed systems can recurrently and concurrently aggregate the transformed feature representations to generate a 3D voxel representation of the object. Furthermore, the disclosed systems can sample frustum features using the 3D voxel representation and transformation kernels.

Abstract: A system for determining the rigid-body transformation between 2D image data and 3D point cloud data includes a first sensor configured to capture image data of an environment, a second sensor configured to capture point cloud data of the environment; and a computing device communicatively coupled to the first sensor and the second sensor. The computing device is configured to receive image data from the first sensor and point cloud data from the second sensor, parameterize one or more 2D lines from image data, parameterize one or more 3D lines from point cloud data, align the one or more 2D lines with the one or more 3D lines by solving a registration problem formulated as a mixed integer linear program to simultaneously solve for a projection transform vector and a data association set, and generate a data mesh comprising the image data aligned with the point cloud data.

Abstract: The present disclosure describes a medical imaging and/or visualization system and method that provide a user interface enabling a user to visualize (e.g., via a volume rendering) a three dimensional (3D) dataset, manipulate the rendered volume to select a slice plane, and generate a diagnostic image at the selected slice plane, which is enhanced by depth colorized background information. The depth colorization of the background image is produced by blending, preferably based on the depth of structures in the volume, two differently colorized volume renderings, and then fusing the background image with a foreground diagnostic image to produce the enhanced diagnostic image.

Abstract: A medical-image processing apparatus and a medical-image diagnostic apparatus according to an embodiment include an acquisition unit, a generation unit, an identification unit, and a display control unit. The acquisition unit acquires a medical image containing a blood vessel collected by the medical-image diagnostic apparatus. The generation unit generates an anatomical structure model based on the medical image acquired by the acquisition unit. The identification unit identifies a position, on the medical image, of an index relating to blood flow analyzed through fluid analysis using the anatomical structure model. The display control unit displays the position of the index on the medical image, and also displays the index associated with the position of the index on the medical image.

Abstract: An apparatus to facilitate copying surface data is disclosed. The apparatus includes copy engine hardware to receive a command to access surface data from a source location in memory to a destination location in the memory, divide the surface data into a plurality of surface data sub-blocks, process the surface data sub-blocks to calculate virtual addresses to which accesses to the memory are to be performed and perform the memory accesses.

Abstract: Embodiments of the invention concerns a method of designing a sports article, including: (a) scanning at least one body part of at least a first person; (b) creating a first digital model of the body part of the first person; (c) creating a digital model of the sports article; (d) digitally arranging the digital model of the sports article on the first digital model of the body part, while allowing the digital model of the sports article to stretch digitally and (e) digitally modifying at least one property of the digital model of the sports article based on the first digital model of the body part and the digital model of the sports article.

Abstract: One embodiment provides for a parallel processor comprising a processing array within the parallel processor, the processing array including multiple compute blocks, each compute block including multiple processing clusters configured for parallel operation, wherein each of the multiple compute blocks is independently preemptable. In one embodiment a preemption hint can be generated for source code during compilation to enable a compute unit to determine an efficient point for preemption.

Abstract: A method of processing an image by a device obtaining one or more images including captured images of objects in a target space, generating metadata including information about mapping between the one or more images and a three-dimensional (3D) mesh model used to generate a virtual reality (VR) image of the target space, and transmitting the one or more images and the metadata to a terminal.

Abstract: Embodiments of this application provide a virtual scene display method performed at a computing device. The method includes: obtaining animation data and video data; displaying an animation interface corresponding to the animation data in an animation display area of a display interface, the animation interface including a first virtual scene including a plurality of animation elements; and playing a video clip in the video data in response to an operation on the animation elements in the animation interface, the video clip presenting a picture of transformation from the first virtual scene to a second virtual scene. A virtual scene display solution provided in the embodiments of this application can reduce resource consumption of an intelligent device and reduce picture stutter.

Abstract: A method with image augmentation includes recognizing, based on a gaze of the user corresponding to the input image, any one or any combination of any two or more of an object of interest of a user, a situation of the object of interest, and a task of the user from partial regions of an input image determining relevant information indicating an intention of the user, based on any two or any other combination of the object of interest of the user, the situation of the object of interest, and the task of the user, and generating a visually augmented image by visually augmenting the input image based on the relevant information.

Abstract: An illustrative image processing system determines calibration parameters for a set of cameras including a first camera configured to capture a scene from a first vantage point and a second camera configured to capture the scene from a second vantage point. The image processing system obtains pose data for an object included in the scene and depicted by first and second images captured, respectively, by the first and second cameras. The pose data is representative of how the object is capable of being posed. Based on the calibration parameters, the pose data, and the first and second images, the image processing system estimates a pose of the object in the scene independently of depth data for the object. The image processing system also generates model data of the scene that includes a volumetric representation of the object in the estimated pose. Corresponding methods and systems are also disclosed.

Abstract: An information handling system operating a learning dynamic gamma-correction optimization system may execute a method including identifying a combination of red, green, and blue subpixel component values for a plurality of pixels, and determining optimal red, green, and blue subpixel component values for the plurality of pixels by running a gamma correction algorithm using a gamma correction factor associated with a maximum gradient energy between the plurality of pixels.

Abstract: An information processing device includes a memory, and processing circuitry coupled to the memory. The processing circuitry is configured to acquire gradation processing target image data, and perform gradation processing on the gradation processing target image data based on a learned model learned in advance.

Abstract: There is provided an information processing apparatus and method that makes it possible to suppress a reduction in a subjective image quality. Point cloud data before update of position information is searched for a point to be compared, the point to be compared being a point to be compared with a current point, the current point being a processing target point of the point cloud data with the updated position information, and the retrieved point to be compared is compared with the current point, and attribute information of the current point is set. The present disclosure is applicable to, for example, an information processing apparatus, an image processing apparatus, electronic equipment, an information processing method, a program, etc.

Abstract: Disclosed herein are system, method, and computer program product embodiments for saving and loading workspaces in augmented reality (AR) environments. An embodiment operates by detecting a command associated with a mobile device configured to interact with an augmented reality (AR) environment, wherein the command indicates an intent to include content from the mobile device in the AR environment. A flat image of the content is received from the mobile device. The flat image from the mobile device is displayed as a holographic image in the AR environment. It is determined that there are a plurality of users accessing the AR environment from a plurality of different devices, wherein each of the plurality of users can see the displayed holographic image in the AR environment.

Abstract: Embodiments of the present disclosure relate to a method and apparatus for controlling mouth shape changes of a three-dimensional virtual portrait, relating to the field of cloud computing. The method may include: acquiring a to-be-played speech; sliding a preset time window at a preset step length in the to-be-played speech to obtain at least one speech segment; generating, based on the at least one speech segment, a mouth shape control parameter sequence for the to-be-played speech; and controlling, in response to playing the to-be-played speech, a preset mouth shape of the three-dimensional virtual portrait to change based on the mouth shape control parameter sequence.

Abstract: Realistic augmented reality (AR) augmentations are produced in reliance on a 3D virtual model modeled after a real world environment. Light and shadow parameters for the augmentations are produced not only from real world parameters such as, for example, a real present position of the actual sun, but also from virtual world parameters which characterize the virtual model or virtual objects within the virtual model.

Abstract: The present disclosure relates to a method of generating a ground map. For instance, the present disclosure provides a method of determining relevant point cloud data for generating a surface topology over real-world geographical areas using sensor data, which may involve (i) receiving a first dataset from a first sensor, (ii) receiving a second dataset from a second sensor, (iii) classifying the first dataset by identifying characteristics of the first dataset that correspond to a ground surface, (iv) filtering the second dataset based on the classified first dataset, and (v) generating a ground map from the filtered second dataset.

Abstract: An approach is provided for determining a polygon of a geographic database that overlaps a candidate polygon or candidate point. The geographic database represents stored polygons as respective polygon points with zero area. The approach involves determining proximate polygon points from among the respective polygon points with zero area that are within a distance threshold of the candidate polygon or the candidate point. The approach also involves retrieving one or more proximate polygons from the geographic database that correspond to the one or more proximate polygon points. The approach further involves determining an intersection between the one or more proximate polygons and the candidate polygon or the candidate point. The approach then involves selecting the polygon that overlaps the candidate polygon or the candidate point based on the determined intersection.

Abstract: A video control, projection and display system is employed in a gaming establishment and used in conjunction with or without a gaming network or gaming components. The control system includes projection cameras or light sources which may generate and display images associated with the electronic gaming machines or with a player of the electronic gaming machines. The control system enhances the image by using pixel cloning, image blending pixel scaling, pixel movement, and pixel masking. The projection system may generate holographic images and may project images onto a variety of surfaces adjacent to the electronic gaming machines. The control system manages devices associated with the projection and display system.